Evidence map›Paper›PMID 40390047›Full record

ArticleGenome biology2025

The gene regulatory mechanisms shaping the heterogeneity of venom production in the Cape coral snake.

Pedro G Nachtigall, Brett R Hamilton, Taline D Kazandjian, Paolo Stincone, Daniel Petras, Nicholas R Casewell, Eivind A B Undheim

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Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pedro G NachtigallCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO Box 1066 Blindern, Oslo, 0316, Norway. p.g.nachtigall@ibv.uio.no.
Brett R HamiltonCentre for Microscopy and Microanalysis, University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
Taline D KazandjianCentre for Snakebite Research & Interventions, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Paolo StinconeInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingen, Auf der Morgenstelle 28, Tübingen, 72076, Germany.
Daniel PetrasInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingen, Auf der Morgenstelle 28, Tübingen, 72076, Germany.
Nicholas R CasewellCentre for Snakebite Research & Interventions, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Eivind A B UndheimCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO Box 1066 Blindern, Oslo, 0316, Norway. e.a.b.undheim@ibv.uio.no.

Funding

European Research Council ERC Starting Grant #101039862Wellcome TrustWellcome Trust Sir Henry Dale Fellowship #200517/Z/16/Z
6 · The paper itself

Abstract

backgroundVenoms and their associated glands and delivery structures have evolved numerous times among animals. Within these venom systems, the molecular, cellular, and morphological components interact and co-evolve to generate distinct, venom phenotypes that are increasingly recognized as models for studying adaptive evolution. However, toxins are often unevenly distributed across venom-producing tissues in patterns that are not necessarily adaptive but instead likely result from constraints associated with protein secretion.

resultsWe generate a high-quality draft genome of the Cape coral snake (Aspidelaps lubricus) and combine analyses of venom gland single-cell RNA-seq data with spatial venom gland in situ toxin distributions. Our results reveal that while different toxin families are produced by distinct populations of cells, toxin expression is fine-tuned by regulatory modules that result in further specialization of toxin production within each cell population. We also find that the evolution of regulatory elements closely mirrors the evolution of their associated toxin genes, resulting in spatial association of closely related and functionally similar toxins in the venom gland. While this compartmentalization is non-adaptive, the modularity of the underlying regulatory network likely facilitated the repeated evolution of defensive venom in spitting cobras.

conclusionsOur results provide new insight into the variability of toxin regulation across snakes, reveal the molecular mechanisms underlying the heterogeneous toxin production in snake venom glands, and provide an example of how constraints can result in non-adaptive character states that appear to be adaptive, which may nevertheless facilitate evolutionary innovation and novelty.

Indexed as

Coral SnakesElapid VenomsGene Expression RegulationGene Regulatory NetworksAnimalsEvolution, MolecularGenomeElapid VenomsElapidaeGene regulatory networkGenomicsMass spectrometry imagingToxinVenomics

Identifiers

PMID40390047
PMCPMC12087220

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.